Senior AI Engineer – Tieto Tech Consulting

• Design and build AI agents and workflows solving concrete business problems
• Take technical ownership of applied AI solutions, including architecture decisions, engineering standards, and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure
• Set up environments for agentic workloads at scale, including GenAIOps, CI/CD, observability, systematic evaluation, and cost control
• Work with customers' data landscapes, including data pipelines, retrieval, data quality, sensitive-data handling, and access control
• Integrate AI solutions into customers' existing IT landscapes and hand them over to operational teams
• Support pre-sales through technical scoping and effort estimates
• Build customers' AI capabilities through workshops and training
• Grow the team through code reviews, knowledge sharing, and technical mentoring
• Evaluate suitable technologies, shape customer engagements, and turn prototypes into enterprise-grade solutions

• Hands-on experience building and deploying AI solutions in production, not just prototypes
• Practical experience with LLM-based systems: RAG, agents, or comparable applied GenAI work
• Strong software engineering skills in Python, including testing, code structure, APIs, and CI/CD
• Good understanding of cloud-based AI architectures and production environments, preferably Azure
• Good understanding of data engineering and integration concepts
• Structured approach to quality and systematic evaluation of AI systems
• Ability to communicate complex concepts clearly to technical and non-technical stakeholders
• Professional working proficiency in German and English
• Nice to have: Experience with Azure AI services and GenAIOps/MLOps tooling
• Nice to have: Background in classical machine learning with PyTorch, TensorFlow, or scikit-learn
• Nice to have: Previous consulting or customer-facing technology project experience
• Nice to have: Experience with AI governance or model evaluation
• Nice to have: Experience mentoring engineers or owning technical workstreams
• CV or LinkedIn profile required with online application

• Professional growth
• Meaningful projects
• Open culture
• Outstanding work-life balance
• Flexible hybrid work model
• Opportunity to create the future of a growing, fast-developing, and important sector
• Diversity, equity, and inclusion commitment
• Curiosity and learning as a lifestyle, with opportunities to unlearn and relearn
• Team knowledge sharing, technical mentoring, workshops, and training opportunities